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Parallel power posterior analyses for fast computation of marginal likelihoods in phylogenetics
In Bayesian phylogenetic inference, marginal likelihoods can be estimated using several different methods, including the path-sampling or stepping-stone-sampling algorithms. Both algorithms are computationally demanding because they require a series of power posterior Markov chain Monte Carlo (MCMC)...
Autores principales: | Höhna, Sebastian, Landis, Michael J., Huelsenbeck, John P. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570164/ https://www.ncbi.nlm.nih.gov/pubmed/34760401 http://dx.doi.org/10.7717/peerj.12438 |
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